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    Home / Data Portal / GHA-ISSER-GSEPS-2013-2014-V1 / variable [F2]
central

Ghana Socioeconomic Panel Survey 2013-2014, Wave 2

Ghana, 2010 - 2013
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Reference ID
gha-isser-gseps-2013-2014-v1
Producer(s)
Institute of Statistical, Social and Economic Research,
Collections
African Centre of Excellence for Inequality Research-Ghana Node
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 10, 2021
Last modified
Dec 09, 2023
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215668
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Data files
  • 01a_consent
  • 01b2_preroster
  • 01b2_roster
  • 01d_background
  • 01e_employment
  • 01ea_employmentscreener
  • 01ei_employmentmain
  • 01eii_employmentsecondary
  • 01eiii_unemployed
  • 01fi_generaleducation
  • 01fii_edcareer
  • 01fiii_literacy
  • 01gi_immigration
  • 01gii_migrationhistory
  • 02a_nr_relatives
  • 02a_nr_relatives_questions
  • 02a_oldrelativelist
  • 02b_nr_spouses
  • 02b_nr_spouses_questions
  • 02b_oldspouselist
  • 03ai_animalquestions
  • 03aii_toolquestions
  • 03aiii_durablegoodquestions
  • 03bi_borrowingquestions
  • 03bii_lendingquestions
  • 03biii_outtransfersquestions
  • 03biv_intransfersquestions
  • 03bv_savingquestions
  • 04h_agsection
  • 04h_preroster
  • 04i_landtenure
  • 04j_tracploughuse
  • 04k_seedquestions
  • 04l_chemquestions
  • 04l_inputs
  • 04m_aglabour
  • 04m_aglabourquestions
  • 04n_harvest
  • 04n_harvestquestions
  • 04nn_gatheringquestions
  • 04o_cropsalesstoresquestions
  • 04o_cropsalesstoresservices
  • 05_preroster
  • 05ai_basicinfo
  • 05aii_assetquestions
  • 05bi_allemployees
  • 05bii_fourimportant
  • 05bii_fourimportantquestions
  • 06a_insurance
  • 06b_anthropometry
  • 06c_immunization
  • 06d_dailyliving
  • 06e_miscellaneous
  • 06f_past2weeks
  • 06g_past12months
  • 07_womenshealth
  • 07a_fertility
  • 07b_power
  • 08a_reprohealth
  • 08b_power
  • 09_childrens
  • 09a_youngchildhealth
  • 09b_digitspantest
  • 09c_ravenspattern
  • 09d_math
  • 09e_english
  • 10_determine_respondents
  • 10ai_depression
  • 10aii_subjectivesocialwelfare
  • 10aiii_regrets
  • 10aiv_townsend
  • 10av_trust
  • 10avi_careforkids
  • 10avi_timeuseloop
  • 10bii_riskpreferences
  • 10c_socialnetworkingquestions
  • 10di_binteractionsquestions
  • 10dii_mediaextensionsquestions
  • 10diii_volunteer_questions
  • 11a_foodcomsumption_prod_purch
  • 11b_clothingquestions
  • 11c_otheritems
  • 11d_fuelconsumptionquestions
  • 12a_housingcharacteristics1i_rent
  • 12a_housingcharacteristics1ii_utilities
  • 12a_housingcharacteristics1iii_structure
  • 12a_measure
  • 12a_measurements
  • 12b_housingcharacteristics2
  • cocoa
  • temp

movedtolocation.district (movedtolocation_district)

Data file: 01b2_preroster

Overview

Valid: 3665
Invalid: 0
Type: Discrete
Width: 41
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
**Accra** 230
6.3%
**Bolgatanga** 65
1.8%
**Cape Coast** 31
0.8%
**Ho** 36
1%
**Kumasi** 306
8.3%
**New Juaben** (Koforidua) 42
1.1%
**Sekondi-Takoradi** 67
1.8%
**Sunyani** 25
0.7%
**Tamale** 198
5.4%
**Wa** 46
1.3%
Abura-Asebu-Kwamankese 1
0%
Adaklu-Anyigbe 1
0%
Adansi North 16
0.4%
Adansi South 9
0.2%
Adenta 14
0.4%
Afigya Kwabre 14
0.4%
Agona East 8
0.2%
Agona West 13
0.4%
Ahafo Ano South 15
0.4%
Ahanta West 7
0.2%
Ajumako/Enyan/Esiam 3
0.1%
Akatsi 21
0.6%
Akwapim North 9
0.2%
Akwapim South 25
0.7%
Amansi e Central 16
0.4%
Amansie East 1
0%
Amansie West 7
0.2%
Aowin Suaman 12
0.3%
Asante Akim North 3
0.1%
Asante Akim South 10
0.3%
Ashaiman 22
0.6%
Asikuma /Odoben/ Brakwa 12
0.3%
Assin North 10
0.3%
Assin South 4
0.1%
Asunafo North 15
0.4%
Asunafo South 5
0.1%
Asuogyaman 31
0.8%
Asutifi 6
0.2%
Atebubu Amantin 6
0.2%
Atiwa 2
0.1%
Atwima Mponua 24
0.7%
Atwima Nwabiagya 19
0.5%
Atwima-Kwanwoma 4
0.1%
Awutu Senya 18
0.5%
Bawku 21
0.6%
Bawku West 1
0%
Bekwai 8
0.2%
Berekum 13
0.4%
Biakoye 2
0.1%
Bibiani /Anhwiaso/ Bekwai 16
0.4%
Birim Central 10
0.3%
Birim North 2
0.1%
Birim South 4
0.1%
Bole 10
0.3%
Bongo 9
0.2%
Bosomtwe 7
0.2%
Builsa 17
0.5%
Bunkprugu-Yunyoo 7
0.2%
Central Gonja 1
0%
Chereponi 32
0.9%
Dangbe East 2
0.1%
Dangbe West 1
0%
Don't know specific district, only region 966
26.4%
Dormaa 5
0.1%
East Akim 22
0.6%
East Gonja 8
0.2%
East Mamprusi 5
0.1%
Effutu 1
0%
Ejisu-Juabeng 22
0.6%
Ejura Sekyedumase 16
0.4%
Ellembele 36
1%
Fanteakwa 8
0.2%
Ga East 9
0.2%
Ga West 6
0.2%
Garu-Tempane 2
0.1%
Gomoa East 5
0.1%
Gomoa West 4
0.1%
Gushiegu 46
1.3%
Hohoe 16
0.4%
Jaman North 23
0.6%
Jaman South 21
0.6%
Jasikan 4
0.1%
Jirapa 5
0.1%
Jomoro 8
0.2%
Kadjebi 11
0.3%
Karaga 9
0.2%
Kassena Nankana 4
0.1%
Keta 2
0.1%
Ketu North 13
0.4%
Ketu South 5
0.1%
Kintampo North 17
0.5%
Kintampo South 3
0.1%
Komenda-Edina-Eguafo-Abirem 2
0.1%
Kpandai 13
0.4%
Kpando 9
0.2%
Krachi East 1
0%
Krachi West 1
0%
Kwabibirem 3
0.1%
Kwabre 13
0.4%
Kwahu East 2
0.1%
Kwahu North (Afram Plains) 23
0.6%
Kwahu South 10
0.3%
Kwahu West 14
0.4%
Lambussie Karni 1
0%
Lawra 2
0.1%
Ledzekuku-Krowor 4
0.1%
Lower Manya Krobo 13
0.4%
Mampong 8
0.2%
Mfantsiman 17
0.5%
Mpohor Wassa East 12
0.3%
Nadowli 19
0.5%
Nanumba North 16
0.4%
Nanumba South 6
0.2%
Nkoranza North 3
0.1%
Nkoranza South 8
0.2%
Nkwanta South 20
0.5%
Nkwanta North 10
0.3%
North Tongu 9
0.2%
Nzema East 11
0.3%
Obuasi 39
1.1%
Prestea-Huni Valley 14
0.4%
Pru 8
0.2%
Saboba 2
0.1%
Savelugu Nanton 28
0.8%
Sawla-Tuna-Kalba 4
0.1%
Sefwi Akontobra 3
0.1%
Sefwi Wiawso 9
0.2%
Sekyere Afram Plain 4
0.1%
Sekyere Central 2
0.1%
Sekyere East 7
0.2%
Sekyere South 14
0.4%
Sene 12
0.3%
Shama 5
0.1%
Sissala West 2
0.1%
South Dayi 3
0.1%
Suhum /Kraboa /Coaltar 25
0.7%
Sunyani West 9
0.2%
Tain 4
0.1%
Talensi-Nabdam 18
0.5%
Tarkwa Nsuaem 24
0.7%
Techiman 25
0.7%
Tema 38
1%
Tolon-Kumbungu 19
0.5%
Twifo/Heman/Lower Denkyira / 10
0.3%
Uper Denkyira West 1
0%
Upper Denkyira East 1
0%
Upper Manya Krobo 10
0.3%
Wa East 1
0%
Wa West 9
0.2%
Wassa Amenfi East 2
0.1%
Wassa Amenfi West 9
0.2%
Weija 9
0.2%
Wenchi 6
0.2%
West Akim 4
0.1%
West Gonja 5
0.1%
West Mamprusi 12
0.3%
Yendi 39
1.1%
Yilo Krobo 10
0.3%
Zabzugu Tatale 20
0.5%
offinso 45
1.2%
offinso North 10
0.3%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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